relation: https://khub.utp.edu.my/scholars/7105/
title: A multivariable regression tool for embodied carbon footprint prediction in housing habitat
creator: Gardezi, S.S.S.
creator: Shafiq, N.
creator: Zawawi, N.A.W.A.
creator: Khamidi, M.F.
creator: Farhan, S.A.
description: A novel embodied carbon prediction tool has been developed for conventionally constructed housing units. Single and double storey terraced, semi-detached and detached housing projects were evaluated by adoption of partial life cycle assessment (LCA) framework. The statistical technique of multivariable regression analysis was merged with LCA and building information modeling (BIM) for prediction of such environmental issue in housing sector. The assessment was limited to pre-use phase with LCA boundary of "cradle to site". The criteria and requirements for a statistically consistent and efficient prediction tool were successfully satisfied with an acceptable average prediction error of less than ±5. Based on very basic explanatory variables, the tool also helped to manage the barrier of huge data requirements for such environmental studies. The study is expected to act as a milestone and help the researchers and industry professionals for quick, effective and sustainable environmental assessment, decision making and solutions. © 2015 Elsevier Ltd.
publisher: Elsevier Ltd
date: 2016
type: Article
type: PeerReviewed
identifier:   Gardezi, S.S.S. and Shafiq, N. and Zawawi, N.A.W.A. and Khamidi, M.F. and Farhan, S.A.  (2016) A multivariable regression tool for embodied carbon footprint prediction in housing habitat.  Habitat International, 53.  pp. 292-300.  ISSN 01973975     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953924456&doi=10.1016%2fj.habitatint.2015.11.005&partnerID=40&md5=905adab4205a84386d0dc0604e7dbbe7
relation: 10.1016/j.habitatint.2015.11.005
identifier: 10.1016/j.habitatint.2015.11.005